FlashProve resuelve la brecha crítica de confianza en las API de IA al demostrar criptográficamente que las respuestas provienen de pesos de modelo específicos y comprometidos, sin exponer los propios modelos.
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Anthropic’s Frontier Red Team has released FlashProve, an open-source research prototype for provable inference. FlashProve is a zkSNARK system from Anthropic that proves a reply came from a committed model. The proof reveals nothing about the model weights. On Llama 4 Maverick, a 400B mixture-of-experts model, it proves about 110 tokens/second on 1 H100. For developers, this targets a real gap: today you cannot check which model actually answered your API call. TL;DR Size: Proves a 400B MoE model (~17B active per token); context capped at 1,024 tokens per request. Runs on: Prover needs 1 H100 80 GB, 24 CPU cores and ~290 GB host RAM. Verifier runs on a CPU, no GPU. Performance: Orders of magnitude faster than prior open-source zkML systems on the same 400B model. Best: 110 tokens/second proving on 1 H100, with 18.78 MB proofs checked in 17 seconds. Worst: Proving costs ~70 to 95x the GPU time of plain vLLM inference. What problem does provable inference solve? A user querying a model cannot verify which model produced the response. A routing service could swap in a cheaper model. An attacker could tamper with the token stream. Judging from output quality alone is unreliable. Anthropic lists 4 use cases: Regulators could confirm hardware serves inference, supporting AI pacing rules. Labs could detect tampered inference servers. Users could verify text provenance. Regulators could enforce serving of approved models only. How does FlashProve work? FlashProve has a prover (the model provider) and a verifier (the user). It runs in 2 phases: Offline: The provider publishes a commitment, a short fingerprint binding one exact set of weights. This takes about 39 minutes and covers about 16 million requests. Online: For each request, the GPU produces a proof that the committed model produced those tokens. The proof system compiles an interactive oracle proof into a cryptographic proof using hash functions. Anthropic says this offers post-quantum securit
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